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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. 12894
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    Explanations

    words related to influencing or controlling a group or situation

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and words ending in 'izing' that indicate processes or actions

    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
    Downloadha
    -0.73
    rera
    -0.72
    adem
    -0.68
     Tah
    -0.60
    checked
    -0.59
     Origin
    -0.58
    omet
    -0.58
    browser
    -0.58
    door
    -0.58
    ood
    -0.57
    POSITIVE LOGITS
    redients
    0.84
    ize
    0.83
    izing
    0.76
    lyak
    0.75
    ulate
    0.74
    izes
    0.71
    Sov
    0.71
    ious
    0.69
    LY
    0.66
    ise
    0.65
    Activations Density 0.026%

    No Known Activations