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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. 13831
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    Explanations

    phrases related to tasks and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to tasks and activities, particularly those that can be performed

    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
    taboola
    -0.83
    asse
    -0.61
    ahime
    -0.59
    amaz
    -0.58
    odus
    -0.57
    ificate
    -0.57
    çīĪ
    -0.55
    onz
    -0.55
    senal
    -0.55
    agh
    -0.54
    POSITIVE LOGITS
     besides
    0.87
    uits
    0.85
     requiring
    0.84
     concurrently
    0.81
     involving
    0.80
     such
    0.79
     performed
    0.78
     inconsist
    0.77
     simultaneously
    0.76
     unconsciously
    0.76
    Activations Density 0.338%

    No Known Activations