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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. 3150
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    Explanations

    terms related to functionality, effectiveness, and operation of various systems or processes

    oai_token-act-pair · gpt-3.5-turbo

    references to functionality and performance issues

    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
    .--
    -0.56
     Ye
    -0.55
     mor
    -0.55
    Ah
    -0.53
    ));
    -0.53
     foregoing
    -0.52
     Ok
    -0.52
     scr
    -0.51
    },
    -0.51
    >[
    -0.51
    POSITIVE LOGITS
    osponsors
    0.82
     everywhere
    0.82
     indirectly
    0.81
     indoors
    0.81
     elsewhere
    0.79
    ²¾
    0.75
    antam
    0.74
     AFTER
    0.72
     incidentally
    0.72
    nergy
    0.72
    Activations Density 1.360%

    No Known Activations