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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. 7-RES-JB
    11. 11253
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    Explanations

    phrases related to specific quantities such as 'penny raised' or 'dime I spend'

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eele
    -0.70
    stals
    -0.67
    ounded
    -0.66
    gur
    -0.62
    igers
    -0.61
    hua
    -0.61
    odan
    -0.60
     diffuse
    -0.59
    ilies
    -0.59
    qus
    -0.58
    POSITIVE LOGITS
     imaginable
    1.50
     conceivable
    1.08
     except
    1.03
    except
    0.93
     whatsoever
    0.85
    nut
    0.76
     nodd
    0.76
    soever
    0.71
    Except
    0.71
     thereafter
    0.69
    Activations Density 0.123%

    No Known Activations