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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
    11. 12061
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    Explanations

    references to cellphones or related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to cellphones and related technologies

    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
    laus
    -0.76
    owitz
    -0.75
    urity
    -0.75
    ãĥĥãĥĪ
    -0.75
    unal
    -0.73
    hof
    -0.71
    ifact
    -0.71
    inst
    -0.70
    umar
    -0.70
    alin
    -0.70
    POSITIVE LOGITS
     phones
    0.85
    phones
    0.84
     towers
    0.79
     handset
    0.79
     cooker
    0.76
     cameras
    0.75
     scanners
    0.74
     cellphone
    0.74
    phone
    0.73
     booth
    0.73
    Activations Density 0.011%

    No Known Activations