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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. 3-RES-JB
    11. 6941
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    Explanations

    the word "pellet" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to pellets, particularly in harmful or toxic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CV
    -0.81
    éĹĺ
    -0.71
    CONCLUS
    -0.71
    isSpecialOrderable
    -0.65
    abbage
    -0.64
    displayText
    -0.64
     Vienna
    -0.63
     IST
    -0.62
    Keefe
    -0.62
    ItemTracker
    -0.62
    POSITIVE LOGITS
    ting
    1.11
    oton
    1.09
    zos
    1.08
    ted
    1.02
     pel
    1.00
    anche
    0.91
    leted
    0.91
    lete
    0.89
    mented
    0.87
    igious
    0.87
    Activations Density 0.004%

    No Known Activations