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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. 7-RES-JB
    11. 24552
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    Explanations

    adjectives describing physical characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives that indicate quality or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourt
    -0.76
    andom
    -0.69
    tein
    -0.68
    secution
    -0.64
    gemony
    -0.63
    eanor
    -0.63
    ULE
    -0.60
    ilings
    -0.60
    rez
    -0.60
    href
    -0.59
    POSITIVE LOGITS
     enough
    1.56
    enough
    1.06
     Enough
    1.01
    wired
    0.87
    founded
    0.85
    inently
    0.84
     asleep
    0.83
    ened
    0.81
    istically
    0.80
     beyond
    0.78
    Activations Density 0.382%

    No Known Activations