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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. 6160
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    Explanations

    verbs or nouns related to actions or concepts involving significant impact or consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to actions or statuses that involve planning, negotiation, or decision-making

    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
    pmwiki
    -0.84
    BuyableInstoreAndOnline
    -0.66
    DragonMagazine
    -0.63
    soDeliveryDate
    -0.63
    ylon
    -0.61
    MpServer
    -0.60
    edom
    -0.60
    tes
    -0.60
    iop
    -0.59
    microsoft
    -0.59
    POSITIVE LOGITS
    uate
    0.87
    ulate
    0.83
    lessly
    0.74
    olate
    0.72
    clude
    0.70
    roman
    0.70
     Flare
    0.66
    loads
    0.64
    strate
    0.62
     Winged
    0.62
    Activations Density 0.907%

    No Known Activations