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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. 8723
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    Explanations

    names of places and natural disasters

    oai_token-act-pair · gpt-3.5-turbo

    names and phrases related to significant events and people, particularly those associated with Hurricane Katrina and related humanitarian discussions

    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
    onential
    -0.76
     Contra
    -0.71
     Neigh
    -0.70
    ¬¼
    -0.70
     submar
    -0.69
     Predator
    -0.68
    ogical
    -0.67
     occas
    -0.66
    ength
    -0.66
     PCs
    -0.65
    POSITIVE LOGITS
    blers
    0.91
    bles
    0.86
    bling
    0.86
    vel
    0.85
    hur
    0.84
    py
    0.83
    ple
    0.82
    bler
    0.81
    pe
    0.77
    spe
    0.77
    Activations Density 0.020%

    No Known Activations