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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. 9-RES-JB
    11. 4983
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    Explanations

    adjectives describing qualities or characteristics of something

    oai_token-act-pair · gpt-3.5-turbo

    references to different dimensions or facets of experience and evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eka
    -0.75
    hua
    -0.63
    odan
    -0.62
     exclus
    -0.62
    een
    -0.61
    ellow
    -0.60
    oken
    -0.60
    onite
    -0.59
     days
    -0.58
    guyen
    -0.57
    POSITIVE LOGITS
     imaginable
    1.53
     conceivable
    1.12
     except
    1.09
     whatsoever
    1.01
     alike
    0.80
    except
    0.78
     irrespective
    0.74
     including
    0.73
     Including
    0.72
     thereafter
    0.69
    Activations Density 0.209%

    No Known Activations