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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. 6-RES-JB
    11. 11561
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    Explanations

    text related to the significance of a specific aspect in various contexts or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    articles indicating significant roles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subordinates
    -0.69
    oons
    -0.67
     Emails
    -0.66
    Edit
    -0.66
    coins
    -0.65
     docs
    -0.65
    iffs
    -0.63
     curls
    -0.63
    evidence
    -0.63
     edits
    -0.62
    POSITIVE LOGITS
     lot
    1.28
     plethora
    1.16
     whopping
    1.09
     considerable
    1.08
     variety
    1.02
     relatively
    1.01
     tremendous
    1.01
     multitude
    1.00
     significant
    0.98
     hefty
    0.98
    Activations Density 0.461%

    No Known Activations