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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. 3-RES-JB
    11. 12364
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    INDEX
    Explanations

    language indicating effort, ambition, or goal-setting

    oai_token-act-pair · gpt-3.5-turbo

    expressions of effort and ambition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.68
    Closure
    -0.67
    payment
    -0.64
     Surv
    -0.63
    treatment
    -0.62
     landsl
    -0.60
    availability
    -0.59
    EVA
    -0.59
    OL
    -0.58
     RAD
    -0.58
    POSITIVE LOGITS
     endeav
    1.03
     strive
    0.97
     striving
    0.96
     endeavour
    0.94
     strives
    0.86
    ments
    0.86
     toward
    0.85
    rious
    0.85
     endeavors
    0.84
     endeavor
    0.83
    Activations Density 0.013%

    No Known Activations