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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. 0-RES-JB
    11. 2233
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    Explanations

    terms related to the action of fetching or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obtaining or gathering resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oidal
    -0.76
    mic
    -0.76
    onson
    -0.71
     Immun
    -0.70
     Cancer
    -0.69
    ISA
    -0.68
     Ernst
    -0.67
     Innovation
    -0.66
     reformed
    -0.66
     Tobacco
    -0.65
    POSITIVE LOGITS
     fetch
    3.72
     fet
    2.53
    etch
    2.47
     retrieve
    2.17
     retrie
    1.87
     retrieving
    1.80
     retrieved
    1.68
     retrieval
    1.66
     retri
    1.59
     ingest
    1.15
    Activations Density 0.040%

    No Known Activations