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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. 23497
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    Explanations

    verbs related to overcoming challenges or adversaries

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "defeat" and its variations

    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
    atern
    -0.82
     liner
    -0.81
     pores
    -0.75
    ortal
    -0.70
    ORPG
    -0.70
    OPER
    -0.69
    umn
    -0.68
    olen
    -0.67
    uggest
    -0.66
    negie
    -0.66
    POSITIVE LOGITS
     defeat
    0.96
     defeats
    0.95
    enance
    0.80
    vich
    0.76
    ingly
    0.75
     defeated
    0.74
    strate
    0.73
    pport
    0.73
     Defeat
    0.73
    ãĥĺ
    0.71
    Activations Density 0.021%

    No Known Activations