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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 13399
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    Explanations

    actions or decisions that are being taken or considered

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or measures being taken

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

    No Comments

    Negative Logits
    inately
    -0.79
    olls
    -0.77
    ILLE
    -0.70
     Bom
    -0.67
    ews
    -0.66
     hears
    -0.65
     Moose
    -0.64
     Maul
    -0.64
    uala
    -0.63
    orf
    -0.62
    POSITIVE LOGITS
     steps
    1.13
     Steps
    1.03
    iblings
    1.00
    steps
    0.94
    hent
    0.89
    isters
    0.86
    antry
    0.83
     forward
    0.83
    daughter
    0.80
    hops
    0.80
    Activations Density 0.020%

    No Known Activations