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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of homelessness

    oai_token-act-pair · gpt-3.5-turbo

    references to homelessness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sphere
    -0.71
    ept
    -0.70
     pist
    -0.69
    isman
    -0.66
    piece
    -0.65
     Origin
    -0.65
    ci
    -0.63
     Sequence
    -0.63
    Coll
    -0.62
    pieces
    -0.62
    POSITIVE LOGITS
     homeless
    3.54
     Homeless
    2.76
     homelessness
    2.41
     unemployed
    1.78
     unemploy
    1.44
     uninsured
    1.42
     begg
    1.36
     needy
    1.33
     obese
    1.28
     elderly
    1.25
    Activations Density 0.025%

    No Known Activations