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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10689
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    Explanations

    short dialogue phrases in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    informal dialogue or conversational interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !".
    -0.47
    )).
    -0.47
    .).
    -0.46
    ).[
    -0.46
    ]).
    -0.45
    ]."
    -0.45
    ))))
    -0.41
    ?).
    -0.41
    )))
    -0.41
    ©¶æ
    -0.40
    POSITIVE LOGITS
    aples
    0.44
    earchers
    0.41
    IFIED
    0.40
    ETHOD
    0.40
    Published
    0.39
    itialized
    0.39
    irection
    0.37
    arij
    0.37
    odore
    0.37
     cmd
    0.36
    Activations Density 6.676%

    No Known Activations