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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. 4860
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    INDEX
    Explanations

    pronouns and verbs indicating actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to personal experiences and observations

    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
    isphere
    -0.64
    GMT
    -0.64
    "}],"
    -0.62
    ][/
    -0.61
    AGE
    -0.61
    Contents
    -0.60
     [/
    -0.59
     i
    -0.59
     BELOW
    -0.58
     Firstly
    -0.57
    POSITIVE LOGITS
     even
    0.75
     also
    0.73
     stalk
    0.70
     nause
    0.69
     clot
    0.69
     rejoice
    0.64
     toured
    0.63
     gossip
    0.63
     weep
    0.63
    chieve
    0.63
    Activations Density 0.495%

    No Known Activations