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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 13485
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    Explanations

    words related to expressing thoughts, opinions, or emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of intention, personal views, and emotional reactions

    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
     themselves
    -0.75
     himself
    -0.70
     yourselves
    -0.68
     Himself
    -0.66
    ierrez
    -0.64
    iao
    -0.62
    idates
    -0.62
    -+-+
    -0.59
     Argent
    -0.59
     Aval
    -0.59
    POSITIVE LOGITS
    favorite
    0.76
    ogyn
    0.70
     colleague
    0.68
    CTV
    0.68
    stic
    0.68
     impulse
    0.67
    DX
    0.67
    husband
    0.66
     foray
    0.66
     Pony
    0.65
    Activations Density 0.262%

    No Known Activations