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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. 7-RES-JB
    11. 17900
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    INDEX
    Explanations

    phrases related to progression or movement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to journeys or processes involving pathways

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.76
    CVE
    -0.71
    fy
    -0.68
    RM
    -0.67
    shock
    -0.66
    HAEL
    -0.64
    Mom
    -0.64
    ONS
    -0.64
    OM
    -0.64
    ldom
    -0.63
    POSITIVE LOGITS
     periphery
    1.13
     path
    1.08
     sidelines
    1.05
     route
    0.96
     corridors
    0.95
     coastline
    0.93
     continuum
    0.91
     edges
    0.90
     coasts
    0.87
     paths
    0.85
    Activations Density 0.051%

    No Known Activations