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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. 4-RES-JB
    11. 15277
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    INDEX
    Explanations

    statements indicating reasons or justifications for a particular situation or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of causal explanations or reasons

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

    No Comments

    Negative Logits
    Eye
    -0.69
    mint
    -0.68
    shaw
    -0.67
    yan
    -0.65
    thal
    -0.62
    Luc
    -0.62
    se
    -0.61
    nin
    -0.60
    vous
    -0.59
    lem
    -0.58
    POSITIVE LOGITS
    */(
    0.96
    endment
    0.88
    assetsadobe
    0.84
    akening
    0.75
    ifference
    0.73
    xual
    0.73
    uristic
    0.72
    ecause
    0.72
    arcity
    0.70
     proxies
    0.70
    Activations Density 0.073%

    No Known Activations