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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. 9-RES-JB
    11. 17304
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    Explanations

    phrases describing specific physical locations or areas

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate measurements or dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acus
    -0.82
    tesy
    -0.78
     sqor
    -0.76
    dad
    -0.75
    س
    -0.75
    raints
    -0.72
    initions
    -0.71
    ivals
    -0.71
    maid
    -0.71
    imei
    -0.71
    POSITIVE LOGITS
     grass
    1.07
     asphalt
    1.06
     coastline
    1.05
     flesh
    0.99
     pavement
    0.97
     skin
    0.94
     ice
    0.92
     vegetation
    0.92
     canvas
    0.90
     land
    0.90
    Activations Density 0.151%

    No Known Activations