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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. 4-RES-JB
    11. 22532
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    Explanations

    positive outcomes or successes

    oai_token-act-pair · gpt-3.5-turbo

    words related to positive outcomes or successes

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

    No Comments

    Negative Logits
    itism
    -0.84
    ittee
    -0.78
    nesota
    -0.73
     skelet
    -0.72
    pai
    -0.71
    agara
    -0.67
    uters
    -0.67
    izen
    -0.66
    nery
    -0.65
    conn
    -0.65
    POSITIVE LOGITS
    oslav
    0.81
    rued
    0.81
    OUND
    0.79
     pharmacies
    0.71
    ounding
    0.70
    soType
    0.69
    ounded
    0.67
    Rect
    0.66
    onent
    0.65
    ãĤ¦ãĤ¹
    0.65
    Activations Density 0.012%

    No Known Activations