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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13963
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    INDEX
    Explanations

    instances of words related to identifying problems, errors, or flaws in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to deficiencies or flaws in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.85
    emies
    -0.78
    ombies
    -0.78
    ombie
    -0.75
    00200000
    -0.75
    Laughs
    -0.74
    SPONSORED
    -0.71
    Terror
    -0.71
    Increases
    -0.68
    odus
    -0.68
    POSITIVE LOGITS
     interpreting
    0.96
     handling
    0.96
     methodology
    0.91
     wiring
    0.91
     functioning
    0.86
     terminology
    0.80
     interpretation
    0.79
     pacing
    0.77
     transmission
    0.76
     Interpret
    0.76
    Activations Density 0.373%

    No Known Activations