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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. 1-RES-JB
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    Explanations

    mentions of the word "cellphone"

    oai_token-act-pair · gpt-3.5-turbo

    references to cellphones and related technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owitz
    -0.75
    unal
    -0.74
    urity
    -0.73
    thus
    -0.71
    rot
    -0.71
    ded
    -0.71
    inst
    -0.70
    alin
    -0.69
    ten
    -0.69
    alien
    -0.68
    POSITIVE LOGITS
     cellphone
    0.90
     handset
    0.86
     phones
    0.81
    BOOK
    0.80
     cooker
    0.78
     subscriber
    0.77
     towers
    0.76
    amera
    0.75
     modem
    0.75
     scanners
    0.75
    Activations Density 0.006%

    No Known Activations