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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. 1360
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    Explanations

    phrases related to tactical movements or strategies

    oai_token-act-pair · gpt-3.5-turbo

    references to strategic actions or movements

    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
    algia
    -0.81
    ħĭ
    -0.72
    grown
    -0.70
    Interstitial
    -0.69
     Garfield
    -0.67
     Uz
    -0.66
    gdala
    -0.66
    ulhu
    -0.66
    bread
    -0.64
    abol
    -0.61
    POSITIVE LOGITS
     maneuver
    1.15
     maneuvers
    1.13
    ments
    0.99
     manoeuv
    0.92
    ably
    0.85
    ability
    0.83
    itime
    0.81
     maneu
    0.79
    inson
    0.77
    eering
    0.76
    Activations Density 0.008%

    No Known Activations