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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. 2943
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    Explanations

    phrases indicating a particular point in time or stage in a process

    oai_token-act-pair · gpt-3.5-turbo

    references to unspecified points in time or circumstances

    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
    ratulations
    -0.66
    sylv
    -0.62
     Invaders
    -0.60
    ursed
    -0.59
     congratulations
    -0.58
     Protect
    -0.55
    letters
    -0.55
    algia
    -0.55
     blessings
    -0.53
    docs
    -0.53
    POSITIVE LOGITS
    point
    1.14
     behest
    1.09
     intervals
    1.07
     point
    1.06
     expense
    1.02
     jun
    0.98
     intersections
    0.94
    points
    0.94
     glance
    0.90
     outset
    0.90
    Activations Density 0.106%

    No Known Activations