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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. 1-RES-JB
    11. 10234
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    INDEX
    Explanations

    words that suggest planning or forethought, particularly forms of the verb 'envision'

    oai_token-act-pair · gpt-3.5-turbo

    words related to anticipation or foresight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.79
    die
    -0.75
    wa
    -0.75
    Reporting
    -0.73
    TPS
    -0.71
    Case
    -0.69
    ldon
    -0.68
     isot
    -0.67
    onew
    -0.67
    dor
    -0.65
    POSITIVE LOGITS
     envision
    1.20
     envisioned
    1.06
     envis
    0.93
    eers
    0.92
     imagining
    0.88
     visions
    0.87
     imag
    0.84
     imagined
    0.83
    ĸļ
    0.82
     fantas
    0.79
    Activations Density 0.017%

    No Known Activations