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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. 8-RES-JB
    11. 6803
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    INDEX
    Explanations

    quotations and statements made by various individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of direct speech or quotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oros
    -0.68
    oin
    -0.60
    atible
    -0.59
    irie
    -0.58
    isi
    -0.57
     Covenant
    -0.56
    earable
    -0.56
    resa
    -0.55
    ensible
    -0.55
    geist
    -0.55
    POSITIVE LOGITS
     adding
    1.35
     referring
    1.29
     noting
    1.18
     citing
    1.16
     recalling
    1.14
     emphasizing
    1.13
     stressing
    1.11
     echoing
    1.08
     quoting
    1.07
     referencing
    1.06
    Activations Density 0.130%

    No Known Activations