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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. 4-RES-JB
    11. 14293
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    Explanations

    mentions of TED talks and words related to academic titles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to esteemed events or individuals, particularly associated with TED talks

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

    No Comments

    Negative Logits
    rily
    -0.73
     Logo
    -0.72
    atto
    -0.72
    oresc
    -0.69
    iances
    -0.68
    ardless
    -0.68
    ovan
    -0.66
    KI
    -0.64
    ieri
    -0.63
    iris
    -0.63
    POSITIVE LOGITS
    hua
    0.97
    uther
    0.91
    ctors
    0.81
    cess
    0.80
    joined
    0.77
    hower
    0.76
    fact
    0.76
    enced
    0.76
    piece
    0.75
    poke
    0.75
    Activations Density 0.029%

    No Known Activations