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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. 15473
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    INDEX
    Explanations

    mentions of entertainment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to engagement or involvement in events and situations

    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
    issance
    -0.83
    phrine
    -0.79
    BILITIES
    -0.74
     Scythe
    -0.68
    ackets
    -0.67
    STER
    -0.65
    acca
    -0.65
    verbs
    -0.64
    CTV
    -0.64
    Kings
    -0.64
    POSITIVE LOGITS
    ropy
    1.03
    ral
    0.96
    ertain
    0.93
    rance
    0.90
    inel
    0.88
    ent
    0.88
    reprene
    0.87
    ucky
    0.86
    acles
    0.86
    rees
    0.85
    Activations Density 0.016%

    No Known Activations