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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. 3-RES-JB
    11. 2994
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    Explanations

    words related to receiving benefits or advantages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to benefits and beneficiaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hole
    -0.70
    kar
    -0.68
    hunt
    -0.66
    ãĥ¯ãĥ³
    -0.63
    thia
    -0.63
     Wolves
    -0.62
     drill
    -0.62
    hun
    -0.60
    canon
    -0.60
     screws
    -0.60
    POSITIVE LOGITS
    iciary
    1.11
     benef
    1.06
    doms
    1.01
    ornia
    0.93
    benef
    0.93
    benefit
    0.92
    actor
    0.90
     Benef
    0.88
    icient
    0.88
    Benef
    0.84
    Activations Density 0.013%

    No Known Activations