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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. 23006
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    Explanations

    references to hopes, desires, or aspirations; essentially, it is detecting mentions of dreams

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the concept of "dream."

    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
    andise
    -0.71
    ãĤ¡
    -0.69
     ease
    -0.68
     deficiencies
    -0.64
    avis
    -0.64
     Methodist
    -0.64
     tabl
    -0.63
    ahon
    -0.62
     Mellon
    -0.60
     variance
    -0.59
    POSITIVE LOGITS
    scape
    0.96
    tek
    0.96
    dream
    0.95
     dreaming
    0.93
     dream
    0.86
    bringer
    0.84
     dreamed
    0.83
    BLE
    0.82
     dreams
    0.81
    spe
    0.81
    Activations Density 0.017%

    No Known Activations