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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. 3-RES-JB
    11. 18011
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    Explanations

    short phrases or words related to specific actions, events, or concepts, possibly in reference to pop culture or media

    oai_token-act-pair · gpt-3.5-turbo

    specific phrases or titles of cultural works and significant themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     �
    -0.71
     §§
    -0.66
     ãĢĮ
    -0.60
     ----------------
    -0.57
     --------
    -0.57
     Cheong
    -0.56
     :=
    -0.56
    arnaev
    -0.54
    ÄŁ
    -0.54
     ``
    -0.54
    POSITIVE LOGITS
    ")
    1.66
    ").
    1.60
    "),
    1.59
    "]
    1.53
    ",
    1.52
    "
    1.49
    "—
    1.44
    "?
    1.41
    %"
    1.40
    "],
    1.40
    Activations Density 0.843%

    No Known Activations