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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. 11618
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    Explanations

    specific instances or examples of something mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference specific cases or examples in a legal or analytical context

    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
    kefeller
    -0.74
    elta
    -0.74
    urd
    -0.74
    rosso
    -0.73
    ruary
    -0.69
    irds
    -0.68
    arus
    -0.68
    autical
    -0.67
    ursday
    -0.67
    itionally
    -0.66
    POSITIVE LOGITS
    cases
    0.83
    mma
    0.75
     case
    0.74
    case
    0.72
     Canaver
    0.69
     cases
    0.69
     instance
    0.67
    DragonMagazine
    0.66
    verse
    0.64
     Case
    0.63
    Activations Density 0.021%

    No Known Activations