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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. 3457
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    Explanations

    words related to diverting or directing attention away from a central topic or target

    oai_token-act-pair · gpt-3.5-turbo

    mentions of divergence in multiple contexts

    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
    HAEL
    -0.78
    EEK
    -0.73
    CHA
    -0.72
    ORED
    -0.67
    AAAA
    -0.66
    ORN
    -0.65
    AA
    -0.65
    Fax
    -0.65
    ellen
    -0.64
    ATA
    -0.63
    POSITIVE LOGITS
    gencies
    1.20
    gent
    1.08
    wcs
    1.06
     diver
    0.99
    ging
    0.93
    ministic
    0.88
    ially
    0.85
    gency
    0.82
    itarian
    0.82
    minist
    0.81
    Activations Density 0.006%

    No Known Activations