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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. 11790
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    Explanations

    mentions of the weapon AK-47

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the AK-47 firearm

    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
    ãĤ£
    -0.90
    nces
    -0.77
    aces
    -0.75
    dfx
    -0.75
    feeding
    -0.73
    acements
    -0.71
    drops
    -0.70
    ttes
    -0.70
    builders
    -0.68
     istg
    -0.67
    POSITIVE LOGITS
    AZ
    0.84
    RON
    0.83
    ansas
    0.76
    istani
    0.76
    VID
    0.75
    Os
    0.72
    AK
    0.71
    AY
    0.70
    IAS
    0.70
    AL
    0.70
    Activations Density 0.012%

    No Known Activations