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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. 24437
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    Explanations

    words related to analysis and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to the impact of external factors on mental states and societal structures

    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
     Pwr
    -0.58
    quickShipAvailable
    -0.44
    itars
    -0.42
    cffffcc
    -0.42
     summed
    -0.41
    idav
    -0.41
    */(
    -0.40
     teamed
    -0.40
    DragonMagazine
    -0.40
    utenant
    -0.40
    POSITIVE LOGITS
    $.
    0.41
    akra
    0.40
    equality
    0.40
    Sax
    0.39
    versive
    0.39
    atlantic
    0.38
    geries
    0.37
     horizon
    0.37
    %.
    0.37
     undes
    0.36
    Activations Density 5.713%

    No Known Activations