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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. 2-RES-JB
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    Explanations

    proper nouns related to political figures or positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals holding the title "Speaker" in political contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.73
    eros
    -0.72
    ter
    -0.72
    tering
    -0.65
     doping
    -0.63
    kus
    -0.63
    laus
    -0.63
    1600
    -0.61
    urat
    -0.60
    elsen
    -0.60
    POSITIVE LOGITS
     Speaker
    1.20
     speaker
    1.07
     Newt
    0.81
     Gingrich
    0.79
    sonian
    0.73
    ħĭ
    0.73
     Assembly
    0.72
    inventoryQuantity
    0.70
     speakers
    0.70
    person
    0.70
    Activations Density 0.010%

    No Known Activations