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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. 6-RES-JB
    11. 18436
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    Explanations

    actions related to espionage or surveillance activities

    oai_token-act-pair · gpt-3.5-turbo

    actions and processes related to surveillance and tracking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     destro
    -0.73
     withd
    -0.71
    utenberg
    -0.68
     notor
    -0.61
     concess
    -0.61
     Monstrous
    -0.60
     Ruins
    -0.59
     exha
    -0.57
    akeru
    -0.56
    DIV
    -0.55
    POSITIVE LOGITS
    ings
    1.45
    able
    1.45
    ables
    1.23
    backs
    1.22
    ability
    1.15
    ingly
    1.10
    fulness
    1.03
    ments
    0.99
    ances
    0.95
    outs
    0.93
    Activations Density 0.594%

    No Known Activations