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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. 4032
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    Explanations

    positive phrases or expressions

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying a sense of approval or affirmation

    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
    ahime
    -0.76
     Citation
    -0.67
    earcher
    -0.65
     Procedure
    -0.64
     Ethics
    -0.61
     proverb
    -0.61
    prus
    -0.60
     Excellence
    -0.56
    hower
    -0.56
     Clause
    -0.56
    POSITIVE LOGITS
     except
    1.09
    together
    0.96
     alike
    0.82
     together
    0.74
    except
    0.74
    usercontent
    0.70
    âĢ¦âĢ¦âĢ¦âĢ¦
    0.69
     besides
    0.68
    watching
    0.68
    yss
    0.67
    Activations Density 0.253%

    No Known Activations