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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
    11. 14602
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    Explanations

    words related to urban environments or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to urban environments

    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
    etsk
    -0.85
    tle
    -0.81
    irement
    -0.81
    henko
    -0.80
    xon
    -0.76
    itsch
    -0.73
    --+
    -0.73
    ktop
    -0.72
    uth
    -0.72
    ï¸ı
    -0.71
    POSITIVE LOGITS
     urban
    1.02
    scape
    0.90
     dwell
    0.89
    Urban
    0.87
     guerrilla
    0.87
     jungle
    0.87
    urban
    0.85
     dwellings
    0.85
     sophistic
    0.83
     neighbourhoods
    0.82
    Activations Density 0.009%

    No Known Activations