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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 1781
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    Explanations

    phrases related to reassurance or alleviating concerns

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing reassurance or alleviation of concern

    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
    artney
    -0.61
    arlane
    -0.60
    "},"
    -0.60
    ``
    -0.59
    /"
    -0.59
    prototype
    -0.59
     )]
    -0.58
     progressively
    -0.58
    arching
    -0.58
    avor
    -0.57
    POSITIVE LOGITS
    !:
    1.19
    !
    1.03
    !)
    0.88
    !,
    0.87
    !!
    0.86
    !.
    0.84
    !),
    0.83
    :
    0.82
    !).
    0.81
     ladies
    0.81
    Activations Density 0.241%

    No Known Activations