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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. 9-RES-JB
    11. 8690
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    INDEX
    Explanations

    phrases related to striving for excellence or the best possible outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing capability and potential actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clerosis
    -0.70
    ategory
    -0.69
    otom
    -0.68
    erey
    -0.66
    NetMessage
    -0.66
    actionDate
    -0.65
     unfocusedRange
    -0.65
    rose
    -0.64
     Iss
    -0.60
    othal
    -0.59
    POSITIVE LOGITS
     imaginable
    1.18
     possible
    1.05
     EVER
    0.98
     practicable
    0.91
     achievable
    0.90
     Possible
    0.89
     ever
    0.85
    Ever
    0.84
     Ever
    0.80
     available
    0.77
    Activations Density 0.273%

    No Known Activations