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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. 11-RES-JB
    11. 14399
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    Explanations

    phrases related to beliefs, values, and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around concern for social and political issues

    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
    sequent
    -0.83
    β
    -0.80
    sequently
    -0.76
     thereafter
    -0.74
    byss
    -0.72
     Later
    -0.71
     subsequently
    -0.68
    bats
    -0.67
    sbm
    -0.66
    Pg
    -0.66
    POSITIVE LOGITS
     REAL
    1.10
     somebody
    1.07
     honest
    1.02
     patri
    0.98
     honesty
    0.96
     someone
    0.94
     everybody
    0.94
     YOU
    0.94
     genuine
    0.93
     people
    0.93
    Activations Density 0.422%

    No Known Activations