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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. 16149
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    Explanations

    mentions of a specific abbreviation or acronym, possibly related to media content

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "SN" related to a specific context or topic

    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
    tons
    -0.73
     [|
    -0.65
     Kali
    -0.64
     Reincarnated
    -0.63
     NCT
    -0.63
    ahime
    -0.63
     Abedin
    -0.62
    reon
    -0.62
     Templ
    -0.62
     unnamed
    -0.62
    POSITIVE LOGITS
    SN
    1.23
    ASH
    0.91
    ACK
    0.91
    UFF
    0.86
    IFF
    0.85
    BOOK
    0.84
    azer
    0.83
    OW
    0.83
    KR
    0.83
    ERG
    0.82
    Activations Density 0.006%

    No Known Activations