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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12077
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    INDEX
    Explanations

    names starting with "Osa" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "osa" within words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERAL
    -0.83
    doms
    -0.80
    rations
    -0.76
    sheet
    -0.74
    rics
    -0.74
    bler
    -0.74
    rary
    -0.74
    rator
    -0.70
    taking
    -0.69
    liest
    -0.68
    POSITIVE LOGITS
    osa
    1.03
     Luxem
    1.02
    qua
    0.94
    que
    0.94
    velength
    0.87
    isy
    0.84
    hea
    0.84
    ña
    0.82
    ques
    0.81
    uce
    0.80
    Activations Density 0.016%

    No Known Activations