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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. 4-RES-JB
    11. 247
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    Explanations

    verbs related to decision-making

    oai_token-act-pair · gpt-3.5-turbo

    references to decision-making processes and actions

    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
     Smile
    -0.73
    ierre
    -0.70
    xs
    -0.70
    aint
    -0.66
    far
    -0.65
    lif
    -0.64
    rehensive
    -0.62
    ixture
    -0.62
    interrupted
    -0.61
     Gum
    -0.61
    POSITIVE LOGITS
     judgement
    0.76
     appoint
    0.73
     ACTIONS
    0.72
     decision
    0.72
    ij士
    0.68
     Sakuya
    0.64
     lightly
    0.64
     disapp
    0.63
     Decision
    0.63
     Cerberus
    0.63
    Activations Density 0.200%

    No Known Activations