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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. 9-RES-JB
    11. 14255
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    Explanations

    actions or behaviors related to decision-making and control

    oai_token-act-pair · gpt-3.5-turbo

    instances of decision-making or power dynamics in situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shepard
    -0.63
     Pulse
    -0.61
     Yiannopoulos
    -0.59
    endo
    -0.56
     BuzzFeed
    -0.56
     Sebastian
    -0.53
     Vox
    -0.53
     Romero
    -0.53
     Slate
    -0.52
     Grimes
    -0.52
    POSITIVE LOGITS
     doesnt
    0.86
     ONLY
    0.71
     disadvantages
    0.70
     dont
    0.68
     NON
    0.68
     didnt
    0.68
    NetMessage
    0.66
     monopoly
    0.65
    nt
    0.65
     legit
    0.63
    Activations Density 2.002%

    No Known Activations