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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. 8
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    INDEX
    Explanations

    mentions of specific government departments or agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to various government departments and their activities

    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
    fit
    -0.74
     sidx
    -0.73
    catentry
    -0.70
    ties
    -0.69
     Pose
    -0.68
    telling
    -0.67
    practice
    -0.65
    fitting
    -0.64
    moving
    -0.62
    atro
    -0.61
    POSITIVE LOGITS
    artments
    0.92
    artment
    0.92
    ality
    0.78
    alities
    0.76
    ysis
    0.75
    istry
    0.72
    iaries
    0.72
    abulary
    0.71
    olphin
    0.70
     Secretary
    0.70
    Activations Density 0.026%

    No Known Activations