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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. 7-RES-JB
    6. 23955
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    Explanations

    quotations or reported speech indicated by quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of quotations and punctuation marks indicating speech or dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouver
    -0.81
    ilyn
    -0.80
    oid
    -0.79
    inki
    -0.77
    atted
    -0.77
    ible
    -0.75
    AGES
    -0.75
     CLSID
    -0.74
    rikes
    -0.74
    oids
    -0.72
    POSITIVE LOGITS
     Zoro
    0.72
    !--
    0.68
    cipled
    0.68
    mington
    0.66
     indec
    0.64
    ricanes
    0.63
    ````
    0.59
    backer
    0.58
    Page
    0.56
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.56
    Activations Density 0.030%

    No Known Activations