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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. 2-RES-JB
    11. 23170
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    Explanations

    specifications related to dimensions such as width and height

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dimensions and sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andum
    -0.78
    plet
    -0.73
    OTA
    -0.68
     bodily
    -0.64
    ovie
    -0.64
     Genie
    -0.64
    ruption
    -0.64
    onto
    -0.63
    plets
    -0.63
     Romance
    -0.62
    POSITIVE LOGITS
     width
    0.99
    width
    0.96
     Width
    0.93
    sheets
    0.92
    sheet
    0.89
    Width
    0.84
    sd
    0.84
    span
    0.83
    sburg
    0.81
    shed
    0.81
    Activations Density 0.009%

    No Known Activations