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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. 0-RES-JB
    11. 6713
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    Explanations

    targets or objectives related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of targets or key subjects in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Iro
    -0.71
    lv
    -0.66
     Columb
    -0.66
    dri
    -0.65
    ARC
    -0.65
     gru
    -0.61
    idas
    -0.61
     viol
    -0.60
    ROM
    -0.60
     Myster
    -0.59
    POSITIVE LOGITS
    Target
    1.89
     Bark
    1.41
     BST
    1.15
     Tik
    0.79
     queue
    0.78
    Pak
    0.76
    aan
    0.75
    abbit
    0.74
    thood
    0.74
     Blend
    0.71
    Activations Density 0.014%

    No Known Activations