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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. 1492
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    Explanations

    conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that imply hypothetical situations

    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
    hig
    -0.80
    orthy
    -0.80
    orse
    -0.77
    vant
    -0.76
    orst
    -0.75
    ilts
    -0.72
    inth
    -0.72
    oS
    -0.69
    insula
    -0.68
    esi
    -0.65
    POSITIVE LOGITS
     you
    1.02
     they
    0.88
     someone
    0.87
    fy
    0.86
     we
    0.85
     somebody
    0.84
    soever
    0.77
     anyone
    0.75
     anybody
    0.73
     there
    0.70
    Activations Density 0.168%

    No Known Activations