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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. 6-RES-JB
    11. 13749
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    Explanations

    calls to action related to obtaining or sharing content

    oai_token-act-pair · gpt-3.5-turbo

    various commands or prompts related to action and interaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onest
    -0.67
    ppard
    -0.65
    milo
    -0.64
    nered
    -0.63
    dn
    -0.60
    coni
    -0.59
    ilaterally
    -0.59
    schild
    -0.58
    arella
    -0.58
    xxxx
    -0.57
    POSITIVE LOGITS
    UTERS
    0.69
     SHARES
    0.67
     Info
    0.65
     Transcript
    0.63
     Favorite
    0.62
     Entered
    0.61
     Javascript
    0.61
     Title
    0.61
     ][
    0.60
     Hearthstone
    0.60
    Activations Density 0.158%

    No Known Activations