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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. 1005
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    INDEX
    Explanations

    years represented in four-digit format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific future dates or projected timelines

    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
    stood
    -0.65
    ighed
    -0.64
    ;;;;;;;;;;;;
    -0.63
     Participant
    -0.61
     Jungle
    -0.60
    vec
    -0.58
     Serge
    -0.56
     Nanto
    -0.56
    lay
    -0.55
    malink
    -0.55
    POSITIVE LOGITS
    26
    1.22
    27
    1.15
    31
    1.15
    40
    1.14
    35
    1.14
    23
    1.14
    28
    1.11
    60
    1.10
    33
    1.10
    34
    1.09
    Activations Density 0.101%

    No Known Activations