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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 175
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    INDEX
    Explanations

    statements and opinions, often introduced with verbs like 'say', 'added', 'argued', 'claimed', 'went', 'said', 'contended', or 'noted'

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases related to statements and claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prus
    -0.63
    adesh
    -0.58
    ptives
    -0.56
     confir
    -0.53
    speech
    -0.52
    ainted
    -0.49
    estern
    -0.49
    NL
    -0.49
    reporting
    -0.49
     teasp
    -0.48
    POSITIVE LOGITS
    ,
    0.89
    ,,
    0.82
    *,
    0.81
    ,[
    0.75
    .,
    0.73
    !,
    0.69
    ,—
    0.67
    ,...
    0.67
    ®,
    0.65
    ,-
    0.64
    Activations Density 0.192%

    No Known Activations