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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. 11-RES-JB
    11. 11258
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    Explanations

    phrases related to influencing or mobilizing people towards a common goal

    oai_token-act-pair · gpt-3.5-turbo

    terms related to groups and collective actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.99
    asus
    -0.74
    ¥µ
    -0.73
    ifer
    -0.71
    ":"","
    -0.70
    umerable
    -0.69
    erno
    -0.68
    Accessory
    -0.66
    arcity
    -0.66
    loss
    -0.65
    POSITIVE LOGITS
     involved
    0.99
     acquainted
    0.98
     excited
    0.95
     hooked
    0.95
     together
    0.93
     onboard
    0.91
     interested
    0.91
     accountable
    0.89
     into
    0.87
     onto
    0.85
    Activations Density 0.134%

    No Known Activations