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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. 9-RES-JB
    11. 11425
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    Explanations

    specific names and phrases related to politics or current affairs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, groups, or entities, particularly in a sociopolitical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dule
    -0.66
    otonin
    -0.65
    umbn
    -0.65
    iculty
    -0.65
    âĸ¬âĸ¬
    -0.61
    igm
    -0.61
    ():
    -0.59
    iatus
    -0.58
    âĿ
    -0.58
    verages
    -0.57
    POSITIVE LOGITS
     notwithstanding
    1.60
     preferring
    0.97
     included
    0.95
     said
    0.89
     permitting
    0.84
     being
    0.83
     argues
    0.79
     says
    0.76
     assures
    0.75
     explains
    0.72
    Activations Density 0.633%

    No Known Activations