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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. 8-RES-JB
    11. 1736
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    Explanations

    phrases indicating outcomes or results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating outcomes or results of actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shaw
    -0.83
    tymology
    -0.82
    raltar
    -0.82
    berus
    -0.77
    cius
    -0.76
    avorite
    -0.74
    inski
    -0.73
    irit
    -0.71
    lished
    -0.70
    berra
    -0.67
    POSITIVE LOGITS
     differently
    0.97
    âĶĢ
    0.75
     worse
    0.72
    Ñĭ
    0.71
    smart
    0.67
    casts
    0.67
     alright
    0.67
     okay
    0.66
     ok
    0.66
     exactly
    0.65
    Activations Density 0.022%

    No Known Activations