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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. 3158
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    Explanations

    words related to eating or consuming

    oai_token-act-pair · gpt-3.5-turbo

    references to chewing and related actions or objects

    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
    ALE
    -0.75
    ////////////////////////////////
    -0.71
    Published
    -0.69
    inances
    -0.68
    ---------------
    -0.67
    UE
    -0.66
    inates
    -0.66
    CTV
    -0.64
    Beck
    -0.64
     Lucifer
    -0.63
    POSITIVE LOGITS
     chew
    1.35
     gum
    1.25
     chewing
    1.13
    ombat
    0.88
    çİĭ
    0.86
     nib
    0.80
    iors
    0.78
    paste
    0.76
     graz
    0.76
     cavity
    0.75
    Activations Density 0.009%

    No Known Activations