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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 homelessness or related issues

    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 @ 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
    gran
    -0.76
     congr
    -0.72
    illary
    -0.70
    lling
    -0.68
     Saban
    -0.67
     magnification
    -0.67
    oys
    -0.67
    agall
    -0.66
    rees
    -0.66
    ioxide
    -0.66
    POSITIVE LOGITS
     homeless
    1.10
     homelessness
    1.01
     Homeless
    0.99
     encamp
    0.98
    bage
    0.89
     shelters
    0.83
     shelter
    0.79
     Shelter
    0.75
     camping
    0.73
     unemploy
    0.72
    Activations Density 0.011%

    No Known Activations