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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. 11-RES-JB
    11. 5414
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    Explanations

    terms related to specific attributes or characteristics of objects or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    nouns and terms related to complex processes and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.69
    lessly
    -0.66
    rary
    -0.65
    entious
    -0.64
    straight
    -0.62
    apixel
    -0.61
    Progress
    -0.60
    isexual
    -0.59
    reprene
    -0.59
    odox
    -0.59
    POSITIVE LOGITS
     involved
    1.19
     varies
    1.11
     required
    1.08
     employed
    0.92
     available
    0.92
     needed
    0.91
     afforded
    0.90
     vary
    0.90
     utilized
    0.89
     differed
    0.87
    Activations Density 0.406%

    No Known Activations