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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. 5830
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    Explanations

    phrases indicating a source of information or an opinion

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with reporting or conveying information

    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
    ombat
    -0.83
    nin
    -0.82
    talk
    -0.73
    dream
    -0.70
    boot
    -0.66
    deal
    -0.65
    tar
    -0.63
    ppa
    -0.62
    si
    -0.62
    shaw
    -0.61
    POSITIVE LOGITS
    redients
    0.80
    BuyableInstoreAndOnline
    0.73
    INTON
    0.70
    ARK
    0.70
    REF
    0.67
    tons
    0.66
    bird
    0.64
    wcsstore
    0.63
    >"
    0.62
    BUS
    0.61
    Activations Density 0.158%

    No Known Activations