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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. 8-RES-JB
    11. 519
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    INDEX
    Explanations

    references to first appearances or initial performances

    oai_token-act-pair · gpt-3.5-turbo

    mentions of debut events or releases in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tics
    -0.72
    chn
    -0.70
    nsic
    -0.69
    bara
    -0.69
    akia
    -0.62
     Canaver
    -0.61
    apons
    -0.60
     unfocusedRange
    -0.60
    nc
    -0.60
    ]}
    -0.60
    POSITIVE LOGITS
    antes
    1.23
    ante
    1.14
    antly
    0.99
    ant
    0.84
    iator
    0.81
    iating
    0.76
    ants
    0.75
    iour
    0.72
    oons
    0.72
    ary
    0.71
    Activations Density 0.036%

    No Known Activations