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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. 6-RES-JB
    11. 9922
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    INDEX
    Explanations

    people or characters described by their clothing or appearance

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.81
    imeo
    -0.74
    ipedia
    -0.74
    elo
    -0.73
    fg
    -0.72
    lvl
    -0.70
    knit
    -0.69
    fi
    -0.68
    mel
    -0.66
    say
    -0.65
    POSITIVE LOGITS
    tons
    1.00
     extraord
    0.88
     behaviours
    0.87
     behaviour
    0.87
     machinery
    0.83
     tendencies
    0.82
    aukee
    0.80
     behaviors
    0.78
     campaigner
    0.76
     prowess
    0.76
    Activations Density 0.098%

    No Known Activations