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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. 6-RES-JB
    11. 20249
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    INDEX
    Explanations

    sentences with a strong negative or consequential outcome

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that end punctuated sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overlooked
    -0.81
     credential
    -0.79
     pit
    -0.74
     recognized
    -0.74
     guest
    -0.71
     knockout
    -0.70
     unch
    -0.69
     seiz
    -0.68
     misunderstood
    -0.68
     unrestricted
    -0.66
    POSITIVE LOGITS
    Imm
    1.04
    Secondly
    1.01
    Hope
    0.98
    OVER
    0.95
    Cond
    0.95
    EH
    0.94
    YES
    0.93
    Others
    0.93
    Refer
    0.93
    Each
    0.92
    Activations Density 0.222%

    No Known Activations