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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. 6-RES-JB
    11. 593
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    INDEX
    Explanations

    terms related to emotions, attitudes, and beliefs towards different concepts or entities

    oai_token-act-pair · gpt-3.5-turbo

    themes related to societal issues and governance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonium
    -0.61
     Canaver
    -0.60
    versible
    -0.59
    WHO
    -0.59
    ombs
    -0.58
    obook
    -0.58
    perse
    -0.58
    odder
    -0.57
    Sequ
    -0.57
    Sym
    -0.57
    POSITIVE LOGITS
     ideals
    0.85
    liness
    0.73
     sensibilities
    0.71
     sexuality
    0.68
    thood
    0.68
     culture
    0.66
     deities
    0.66
     freedoms
    0.64
     masculinity
    0.64
    abilia
    0.63
    Activations Density 0.683%

    No Known Activations