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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. 2-RES-JB
    11. 21109
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    Explanations

    mentions of various types of gum

    oai_token-act-pair · gpt-3.5-turbo

    references to gum and related actions or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inen
    -0.82
     Archdemon
    -0.76
     Levi
    -0.76
    ————————
    -0.72
    ECH
    -0.72
     Tradable
    -0.71
    ————————————————
    -0.71
    Technical
    -0.70
     Fundamental
    -0.69
     Cel
    -0.68
    POSITIVE LOGITS
     gum
    1.43
    ming
    1.10
     chewing
    1.09
    balls
    0.90
     wrapper
    0.89
    ball
    0.88
     joints
    0.87
    drops
    0.81
    mi
    0.81
    hib
    0.81
    Activations Density 0.006%

    No Known Activations