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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. 7-RES-JB
    11. 3705
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    Explanations

    instances related to significant events or actions happening immediately after other specific events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     pse
    -0.71
    ASE
    -0.69
    NG
    -0.65
    CN
    -0.60
    ODE
    -0.58
     Genie
    -0.58
    anto
    -0.58
    OP
    -0.57
    oco
    -0.56
    alog
    -0.56
    POSITIVE LOGITS
    hower
    0.69
    ritz
    0.67
     Reloaded
    0.66
    hess
    0.64
    ifice
    0.61
     announcement
    0.61
    ulence
    0.61
     festivities
    0.60
     Deadline
    0.60
     airs
    0.60
    Activations Density 0.310%

    No Known Activations