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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. 3813
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    Explanations

    keywords related to data retrieval and manipulation such as "fetch" and "API"

    oai_token-act-pair · gpt-3.5-turbo

    the term "fetch" in various contexts related to programming and data retrieval

    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
    ————
    -0.71
    paragraph
    -0.69
    SHIP
    -0.69
     Principles
    -0.69
    cussion
    -0.67
     Coverage
    -0.65
    Section
    -0.65
    ZA
    -0.63
     Principle
    -0.63
    say
    -0.63
    POSITIVE LOGITS
    etch
    1.19
    hyde
    0.96
    ing
    0.91
    ingly
    0.84
     fetch
    0.83
    dale
    0.82
    ieri
    0.76
    ezvous
    0.75
    ikan
    0.74
    imer
    0.73
    Activations Density 0.003%

    No Known Activations