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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. 3-RES-JB
    11. 3690
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    Explanations

    proper nouns or names that are often followed by a title or honorific

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'e' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iets
    -0.78
    mallow
    -0.77
     sidx
    -0.74
    anova
    -0.70
    ĸļ
    -0.69
     carbohyd
    -0.67
     glim
    -0.67
    £ı
    -0.66
    */(
    -0.65
    displayText
    -0.65
    POSITIVE LOGITS
    lements
    1.31
    agle
    1.06
    gging
    1.00
    lev
    1.00
    ld
    0.99
    zza
    0.98
    astern
    0.97
    gger
    0.97
    cker
    0.96
    lys
    0.94
    Activations Density 0.033%

    No Known Activations